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An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles
Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea clade support the scenario that the evolution of the replication timing program could be mainly driven by correlated acquisition and loss events of active replication origins. Using these...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213407/ https://www.ncbi.nlm.nih.gov/pubmed/34013887 http://dx.doi.org/10.7554/eLife.63542 |
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author | Droghetti, Rossana Agier, Nicolas Fischer, Gilles Gherardi, Marco Cosentino Lagomarsino, Marco |
author_facet | Droghetti, Rossana Agier, Nicolas Fischer, Gilles Gherardi, Marco Cosentino Lagomarsino, Marco |
author_sort | Droghetti, Rossana |
collection | PubMed |
description | Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea clade support the scenario that the evolution of the replication timing program could be mainly driven by correlated acquisition and loss events of active replication origins. Using these results as a benchmark, we develop an evolutionary model defined as birth-death process for replication origins and use it to identify the evolutionary biases that shape the replication timing profiles. Comparing different evolutionary models with data, we find that replication origin birth and death events are mainly driven by two evolutionary pressures, the first imposes that events leading to higher double-stall probability of replication forks are penalized, while the second makes less efficient origins more prone to evolutionary loss. This analysis provides an empirically grounded predictive framework for quantitative evolutionary studies of the replication timing program. |
format | Online Article Text |
id | pubmed-8213407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-82134072021-06-21 An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles Droghetti, Rossana Agier, Nicolas Fischer, Gilles Gherardi, Marco Cosentino Lagomarsino, Marco eLife Computational and Systems Biology Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea clade support the scenario that the evolution of the replication timing program could be mainly driven by correlated acquisition and loss events of active replication origins. Using these results as a benchmark, we develop an evolutionary model defined as birth-death process for replication origins and use it to identify the evolutionary biases that shape the replication timing profiles. Comparing different evolutionary models with data, we find that replication origin birth and death events are mainly driven by two evolutionary pressures, the first imposes that events leading to higher double-stall probability of replication forks are penalized, while the second makes less efficient origins more prone to evolutionary loss. This analysis provides an empirically grounded predictive framework for quantitative evolutionary studies of the replication timing program. eLife Sciences Publications, Ltd 2021-05-20 /pmc/articles/PMC8213407/ /pubmed/34013887 http://dx.doi.org/10.7554/eLife.63542 Text en © 2021, Droghetti et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Droghetti, Rossana Agier, Nicolas Fischer, Gilles Gherardi, Marco Cosentino Lagomarsino, Marco An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title | An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title_full | An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title_fullStr | An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title_full_unstemmed | An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title_short | An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
title_sort | evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213407/ https://www.ncbi.nlm.nih.gov/pubmed/34013887 http://dx.doi.org/10.7554/eLife.63542 |
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